conftrace_

robust prediction

11 papers

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Co-occurring keywords · papers mentioning both

causal inference (3) graph neural network (2) uncertainty quantification (2) domain adaptation (2) adversarial example detection (1) zero-shot domain adaptation (1) hierarchical knowledge (1) total variation denoising (1) plugin architecture (1) hierarchical knowledge graph (1)

Papers

Directing Uncertainty-Aware Information Flow for Robust Diffusion Prediction AAAI 2026 Assist Is Just As Important as the Goal: Image Resurfacing To Aid Model's Robust Prediction WACV 2024 HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation CVPR 2024 Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective NeurIPS 2024 Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness NeurIPS 2023 Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023 Causally motivated multi-shortcut identification and removal NeurIPS 2022 In the Eye of the Beholder: Robust Prediction with Causal User Modeling NeurIPS 2022 Robust Fairness Under Covariate Shift AAAI 2021 Training independent subnetworks for robust prediction ICLR 2021 Towards Robust Detection of Adversarial Examples NeurIPS 2018